article · Cogent Economics & Finance
Adopting modern agricultural technologies is recognised as a promising pathway to raise farm productivity, strengthen food security, and alleviate poverty in Ethiopia, yet overall adoption rates remain low. Using data from the 2015/2016 Ethiopian socio-economic survey covering 656 farm households in the rural Amhara region, this study assesses the determinants influencing technology uptake through a multinomial logit model. The analysis shows that adoption of new or improved farming technologies is significantly more likely among farmers who possess higher education levels, larger families, livestock holdings, and participation in off-farm work. In addition, institutional and infrastructural support plays an essential role: farmers with access to credit, advisory services, and extension support, as well as those situated closer to their plots, all-weather roads, and zonal towns, show higher adoption rates. Conversely, farmers receiving lower remittance income are also more inclined to adopt these technologies.
Agricultural modernisation is vital for enhancing food security and reducing poverty in rural communities. By identifying the socioeconomic, financial, and geographical factors that influence whether farmers adopt improved tools and practices, these insights help regional planners, development agencies, and financial institutions design targeted interventions, financial products, and infrastructure investments that effectively encourage broader agricultural technology uptake across rural Ethiopia.
The research identifies the practical preconditions for introducing new agricultural inputs, tools, and farming methods to smallholder farmers in Ethiopia. Agricultural technology providers, agritech enterprises, and rural credit institutions can use these findings to target receptive farming communities, particularly those with road access, extension links, and credit facilities. Because the study provides survey-based empirical analysis rather than product testing, its commercial application is at an early, planning-focused stage to guide market entry and distribution strategies.
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The adoption of modern agricultural technologies remains to be a promising strategy to improve agricultural productivity, achieve food security and reduce poverty in Ethiopia. Despite the efforts to promote adoption in the country, the adoption rate has always been very low. So, it is essential to understand the determinants to the adoption of modern agricultural technologies. This study investigates the determinants of agricultural technology adoption decisions in the rural Amhara region of Ethiopia. The study is based on an Ethiopian socio-economic survey of 2015/16 and a sample of 656 farm households is considered. The paper uses a multinomial logit model to assess the factors affecting the adoption decision of agricultural technology. The result shows that farmers with more educational level, family size, off-farm participation, livestock, extension service, credit access, advisory service, and farmers closer to plot, all-weather road, zonal town, and farmers with lower remittance income are more likely to adopt new or improved agricultural technology. Accordingly, the study provides crucial policy implications regarding the technology adoption in the agricultural sector for all regions of Ethiopia.
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DOI: 10.1080/23322039.2022.2058189
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